Daniel Bauer

Publications

(2021) C. DeChant, D. Bauer. Toward robots that learn to summarize their actions in natural language: a set of tasks. In Conference on Robot Learning (CoRL 21)

(2016) D. Bauer, O, Rambow: Hyperedge Replacement and Nonprojective Dependency Structures, In: International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+12).

(2015) S. Oepen, M. Steedman, F. Drewes, L. Kallmeyer, D. Bauer: Typical or Desirable Features of Graphs in NLP, In: F.Drewes, K. Knight, M. Kuhlmann (eds.): Formal Models of Graph Transformation in Natural Language Processing (Dagstuhl Seminar 15122). Dagstuhl Reports 5 (3). (Dagstuhl Reports)

(2014) A. Agarwal, D. Bauer, O. Rambow: Using Frame Semantics in Natural Language Processing, Proceedings of Frame Semantics in NLP: A Workshop in Honor of Chuck Fillmore, ACL, (PDF)

(2014) M. Ulinski, A. Balakrishnan, D. Bauer, B. Coyne, J. Hirschberg, O. Rambow: Documenting Endangered Languages with the WordsEye Linguistics Tool, Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL) (PDF)

(2014) F. Braune, D. Bauer, K. Knight: Mapping Between English Strings and Reentrant Semantic Graphs. LREC. (PDF)

(2013) D. Chiang, J. Andreas, D. Bauer, K-M. Hermann, B. Jones, K. Knight: Parsing Graphs with Hyperedge Replacement Grammars. ACL. (PDF)

(2013) D. Bauer: Understanding Descriptions of Visual Scenes using Graph Grammars, AAAI, Doctoral Consortium. (AAAI publications)

(2013) D. Bauer: Towards Deep Semantic Processing with FrameNet, International FrameNet Workshop (abstract, talk).

(2012) B. Jones*, J. Andreas*, D. Bauer*, K-M. Hermann*, K. Knight: Semantics-Based Machine Translation with Hyperedge Replacement Grammars, COLING. [*First authorship shared. Order on publication randomized.] (PDF)

(2012) B. Coyne, A. Klapheke, M. Rouhizadeh, R. Sproat,D. Bauer: Annotation Tools and Knowledge Representation for a Text-To-Scene System, COLING. (PDF)

(2012) D. Bauer, B. Coyne and O. Rambow: "Frame-Based Representation of Lexical, Graphical, and Factual Knowledge for Text-to-Scene Generation", Concept Types and Frames in Language, Cognition, and Science (CTF'12), Heinrich Heine University, Düsseldorf (abstract PDF)

(2012) D. Bauer, H. Fürstenau, and O. Rambow: "The Dependency-Parsed FrameNet Corpus" In: Proceedings of the 8th Language Resources and Evaluation Conference (LREC 2012). Istanbul, Turkey. (PDF, data)

(2011) D. Bauer and O. Rambow: "Increasing Coverage of Syntactic Subcategorization Patterns in FrameNet using Verbnet" In: Fifth IEEE International Conference on Semantic Computing (ICSC 2011), short papers. Stanford, CA (IEEE Xplore)

(2011) M. Rouhizadeh, D. Bauer, B. Coyne, O. Rambow, and Richard Sproat: "Collecting Spatial Information for Locations in a Text-to-Scene Conversion System" In: Workshop on Computational Models for Spatial Language Interpretation and Generation (CoSLI-2). Boston, MA

b (2011) B. Coyne, D. Bauer and O. Rambow: "VigNet: Grounding Language in Graphics using Frame Semantics" In: ACL Workshop on Relational Models of Semantics (RELMS 2011), Portland, OR (PDF)

(2010) D. Bauer and A.Koller: "Sentence Generation as Planning with Probabilistic LTAG". In: Proceedings of the 13th International Conference on Tree Adjoining Grammars and Related Formalisms (TAG+), New Haven, CT. (PDF)

(2007) D. Bauer, J. Degen, X. Deng, P. Herger, J. Gasthaus, E. Giesbrecht, L. Jansen, C. Kalina, T. Krüger, R. Märtin, M. Schmidt, S. Scholler, J. Steger, E. Stemle and S. Evert: "FIASCO: Filtering the Internet by Automatic Subtree Classification, Osnabrück". In: Proceedings of the Third Web as Corpus Workshop (WAC3), CLEANEVAL Session, Louvain-la-Neuve, Belgium. (PDF)

Theses

PhD Thesis, (2017) "Grammar-Based Semantic Parsing into Graph Representations", Department of Computer Science, Columbia University. (access through Columbia Academic Commons)

MSc Thesis, (2009) "Statistical Natural Language Generation as Planning", Department of Computational Linguistics, Saarland University, Germany. (PDF)

BSc Thesis, (2007) "Learning the Semantics of Wikipedia Hyperlinks", Institute for Cognitive Science, University of Osnabrück, Germany. (PDF)